Creation
Browse files- app.py +14 -4
- bicycle1.jpg +0 -0
- bicycle2.jpg +0 -0
- car1.jpg +0 -0
- car2.jpg +0 -0
- truck1.jpg +0 -0
- truck2.jpg +0 -0
- veicle_model.pkl +3 -0
app.py
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@@ -1,7 +1,17 @@
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import gradio as gr
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return "Hello " + name + "!!"
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from fastai.vision.all import *
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import gradio as gr
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learn = load learner('veicle_model.pkl')
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categories = ('Car', 'Bicycle', 'Truck lorry')
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def classify_image(img):
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pred,idx,probs = learn.predict(img)
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return dict(zip(categories, map(float,probs)))
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image = gr.inputs.Image(shape=(192, 192))
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label = gr.outputs.Label()
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exaples = ['car1.jpg', 'car2.jpg', 'bicycle1.jpg', 'bicycle2.jpg', 'truck1.jpg', 'truck2.jpg']
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intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
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intf.lounch(inline=False)
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bicycle1.jpg
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bicycle2.jpg
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car1.jpg
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car2.jpg
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truck1.jpg
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truck2.jpg
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veicle_model.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:154c532dd0f871b0a733baa7d3727cfd1da724a0d3242453d9750fe735967c65
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size 46965926
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